Thomas C. Jhou

4.9k total citations
41 papers, 3.2k citations indexed

About

Thomas C. Jhou is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Thomas C. Jhou has authored 41 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 20 papers in Cognitive Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Thomas C. Jhou's work include Neurotransmitter Receptor Influence on Behavior (28 papers), Neuroscience and Neuropharmacology Research (18 papers) and Receptor Mechanisms and Signaling (16 papers). Thomas C. Jhou is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (28 papers), Neuroscience and Neuropharmacology Research (18 papers) and Receptor Mechanisms and Signaling (16 papers). Thomas C. Jhou collaborates with scholars based in United States, United Kingdom and China. Thomas C. Jhou's co-authors include Clifford B. Saper, Jun Lu, Mark G. Baxter, Howard L. Fields, Peter C. Holland, Simon Hong, Michela Marinelli, Daniel S. Zahm, Stefanie Geisler and Mark E. Walton and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Thomas C. Jhou

40 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas C. Jhou United States 25 2.3k 1.4k 977 519 325 41 3.2k
Saleem M. Nicola United States 27 3.1k 1.4× 1.9k 1.3× 1.5k 1.6× 414 0.8× 479 1.5× 38 4.2k
Evgeny A. Budygin United States 33 2.7k 1.2× 1.1k 0.8× 1.5k 1.5× 318 0.6× 450 1.4× 74 3.7k
Alice M. Stamatakis United States 16 2.4k 1.1× 1.8k 1.3× 930 1.0× 863 1.7× 674 2.1× 20 3.7k
Pierre-Paul Rompré Canada 23 2.4k 1.1× 995 0.7× 1.1k 1.1× 338 0.7× 340 1.0× 71 3.2k
Susana Mingote United States 26 1.7k 0.8× 935 0.6× 752 0.8× 226 0.4× 358 1.1× 33 2.6k
Sean B. Ostlund United States 30 2.7k 1.2× 2.4k 1.6× 1.0k 1.1× 265 0.5× 664 2.0× 55 4.1k
Daina Economidou Italy 29 2.5k 1.1× 1.0k 0.7× 1.0k 1.0× 376 0.7× 375 1.2× 34 3.2k
Elyssa B. Margolis United States 26 3.5k 1.5× 1.4k 0.9× 2.2k 2.2× 444 0.9× 354 1.1× 38 4.6k
Stewart D. Clark United States 20 1.2k 0.5× 1.1k 0.7× 444 0.5× 552 1.1× 262 0.8× 44 2.1k
Nathan J. Marchant United States 29 2.1k 0.9× 1.4k 0.9× 736 0.8× 335 0.6× 461 1.4× 41 2.7k

Countries citing papers authored by Thomas C. Jhou

Since Specialization
Citations

This map shows the geographic impact of Thomas C. Jhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas C. Jhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Jhou more than expected).

Fields of papers citing papers by Thomas C. Jhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas C. Jhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas C. Jhou. The network helps show where Thomas C. Jhou may publish in the future.

Co-authorship network of co-authors of Thomas C. Jhou

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas C. Jhou. A scholar is included among the top collaborators of Thomas C. Jhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas C. Jhou. Thomas C. Jhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Chao, Ying S., et al.. (2023). Innate cocaine-seeking vulnerability arising from loss of serotonin-mediated aversive effects of cocaine in rats. Cell Reports. 42(5). 112404–112404. 1 indexed citations
4.
Green, Lisa M., Roger I. Grant, Elizabeth M. Doncheck, et al.. (2022). An opioid-gated thalamoaccumbal circuit for the suppression of reward seeking in mice. Nature Communications. 13(1). 6865–6865. 24 indexed citations
5.
Kruyer, Anna, Lasse Brandt, Stefan Gutwinski, et al.. (2021). Accumbens D2-MSN hyperactivity drives antipsychotic-induced behavioral supersensitivity. Molecular Psychiatry. 26(11). 6159–6169. 21 indexed citations
6.
Li, Hao, et al.. (2021). Synaptic Adaptations at the Rostromedial Tegmental Nucleus Underlie Individual Differences in Cocaine Avoidance Behavior. Journal of Neuroscience. 41(21). 4620–4630. 8 indexed citations
7.
Jhou, Thomas C., et al.. (2020). Prelimbic cortical projections to rostromedial tegmental nucleus play a suppressive role in cue-induced reinstatement of cocaine seeking. Neuropsychopharmacology. 46(8). 1399–1406. 10 indexed citations
8.
Qu, Wei‐Min, et al.. (2020). The Rostromedial Tegmental Nucleus: Anatomical Studies and Roles in Sleep and Substance Addictions in Rats and Mice. Nature and Science of Sleep. Volume 12. 1215–1223. 8 indexed citations
9.
Li, Hao, et al.. (2020). Entopeduncular Nucleus Projections to the Lateral Habenula Contribute to Cocaine Avoidance. Journal of Neuroscience. 41(2). 298–306. 12 indexed citations
10.
Rodríguez-Romaguera, Jose, Randall L. Ung, Hiroshi Nomura, et al.. (2020). Prepronociceptin-Expressing Neurons in the Extended Amygdala Encode and Promote Rapid Arousal Responses to Motivationally Salient Stimuli. Cell Reports. 33(6). 108362–108362. 42 indexed citations
11.
Jhou, Thomas C., et al.. (2019). The ventrolateral periaqueductal grey updates fear via positive prediction error. European Journal of Neuroscience. 51(3). 866–880. 34 indexed citations
12.
Parker, Kyle E., Christian E. Pedersen, Adrian M. Gomez, et al.. (2019). A Paranigral VTA Nociceptin Circuit that Constrains Motivation for Reward. Cell. 178(3). 653–671.e19. 71 indexed citations
14.
Smith, Rachel J., et al.. (2018). Gene expression and neurochemical characterization of the rostromedial tegmental nucleus (RMTg) in rats and mice. Brain Structure and Function. 224(1). 219–238. 44 indexed citations
15.
Elmer, Gregory I., Cheryl L. Mayo, Paul Brown, et al.. (2018). The rostromedial tegmental nucleus modulates the development of stress-induced helpless behavior. Behavioural Brain Research. 359. 950–957. 18 indexed citations
16.
Burnham, Nathan W., et al.. (2016). Learning From One’s Mistakes: A Dual Role for the Rostromedial Tegmental Nucleus in the Encoding and Expression of Punished Reward Seeking. Biological Psychiatry. 81(12). 1041–1049. 32 indexed citations
17.
Brown, Robyn M., Yonatan M. Kupchik, Sade Spencer, et al.. (2015). Addiction-like Synaptic Impairments in Diet-Induced Obesity. Biological Psychiatry. 81(9). 797–806. 81 indexed citations
18.
Barrot, Michel, Susan R. Sesack, François Georges, et al.. (2012). Braking Dopamine Systems: A New GABA Master Structure for Mesolimbic and Nigrostriatal Functions. Journal of Neuroscience. 32(41). 14094–14101. 167 indexed citations
19.
Jhou, Thomas C., Howard L. Fields, Mark G. Baxter, Clifford B. Saper, & Peter C. Holland. (2009). The Rostromedial Tegmental Nucleus (RMTg), a GABAergic Afferent to Midbrain Dopamine Neurons, Encodes Aversive Stimuli and Inhibits Motor Responses. Neuron. 61(5). 786–800. 499 indexed citations
20.
Jhou, Thomas C.. (2005). Neural mechanisms of freezing and passive aversive behaviors. The Journal of Comparative Neurology. 493(1). 111–114. 36 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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